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Overview
This Business Analytics course from Imperial College Business School - Summer School at Imperial College London will focus on a brief introduction to probability/statistics, decision trees and optimisation and networks with applications in logistics and organisations.
By the end of the course you will:
Understand some basic probability concepts such as distributions, conditional probability etc. and apply them in real life situations.
Build and solve decision trees for modelling strategic real-world problems under uncertainty.
Understand how to formulate various kinds of optimization problems and solve them in Excel and AMPL.
Construct linear regression models for statistical analysis, and estimate them in R.
Programme Structure
- Week one
We will review some basic probability (distributions, conditional probability, Bayes Theorem, Central Limit Theorem, etc.). We’ll also learn how to formulate real-world strategic problems under uncertainty as decision trees and how to solve these trees using an Excel Addin.
- Week two
We will learn how to formulate managerial decision problems as linear and discrete optimization problems, what the properties of these optimization problems are, and how these optimization problems can be solved in Excel and AMPL.
- Week three
We will learn about the specification and estimation of the linear regression model, from model assumptions, coefficient estimation to model inference and predictions. Using empirical applications drawn from economics and related fields, we will demonstrate how these approaches can be successfully applied in practice.
Key information
Duration
- Full-time
- 21 days
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
Language
English
IELTS 6.5
TOEFL® IBT 92
Credits
7 ECTS
3 – 4 US / 7.5 ECTS credits
Delivered
On Campus
Disciplines
Business Administration Business Intelligence & Analytics Business Information Systems View 45 other Short Courses in Business Intelligence & Analytics in United KingdomAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
IELTS 6.5
TOEFL® IBT 92
Other requirements
General requirements
As part of the application form you will need to upload scanned copies of the following documents:
- Personal statement: A short written statement (up to 500 words) outlining your reason(s) for choosing your course(s) and what you hope to gain from the Summer School programme.
- Curriculum vitae (CV)
- University transcript(s) and a translation of your university transcript if it is not in English.
- Most recent English language test certificate (if applicable)
- Evidence of A-level mathematics if required (see entry requirements)
- Any other relevant supporting documents (if applicable)
Tuition Fee
To alway see correct tuition fees
-
International
2350 GBP/fullTuition FeeBased on the tuition of 2350 GBP for the full programme during 21 days. -
National
2350 GBP/fullTuition FeeBased on the tuition of 2350 GBP for the full programme during 21 days.
Applications made after 22 April:
- One session: £2,350
- Two sessions: £4,230
Early bird fee: before 22 April
- One session: £2,115
- Two sessions: £3,807
Living costs for London
1137 - 2157 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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